NDLI: Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses

Content Provider	IEEE Xplore Digital Library
Author	Rosa, Natalia A. Felipe, Joaquim C. Traina, Agma J. M. Traina, Caetano Rangayyan, Rangaraj M. Azevedo-Marques, Paulo M.
Copyright Year	2008
Description	Author affiliation: School of Medicine of Ribeirão Preto, University of São Paulo, 14048-900 Brazil (Rosa, Natalia A.; Azevedo-Marques, Paulo M.) \|\| Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Alberta T2N 1N4, Canada (Rangayyan, Rangaraj M.) \|\| Faculty of Philosophy of Ribeirão Preto, University of São Paulo, 14048-900 Brazil (Felipe, Joaquim C.) \|\| Department of Computer Science, University of São Paulo, São Carlos, 13560-70 Brazil (Traina, Agma J. M.; Traina, Caetano)
Abstract	This paper presents the use of relevance feedback (RFb) to reduce the semantic gap in content-based image retrieval (CBIR) of mammographic masses. Tests were conducted where the radiologists' classification of the lesions based on the BI-RADS categories were used with techniques of query-point movement to incorporate RFb. The measures of similarity of images used for CBIR were based upon Zernike moments. The performance of CBIR was measured in terms of precision and recall of retrieval. The results indicate improvement due to RFb of up to 41.6% in precision. In our experiments, the gain in the performance of CBIR with RFb was associated with the BI-RADS category of the query mammographic image, with large improvement in cases of lesions belonging to categories 4 and 5. The proposed method could find applications in computer-aided diagnosis (CAD) of breast cancer.
Starting Page	406
Ending Page	409
File Size	234705
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4649176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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